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| # Copyright (c) Meta Platforms, Inc. and affiliates. | |
| # All rights reserved. | |
| # | |
| # This source code is licensed under the BSD-style license found in the | |
| # LICENSE file in the root directory of this source tree. | |
| """Code Output Assessment Environment Client.""" | |
| from typing import Dict | |
| from openenv.core import EnvClient | |
| from openenv.core.client_types import StepResult | |
| from openenv.core.env_server.types import State | |
| from .models import CodeAssessmentAction, CodeAssessmentObservation | |
| class CodeAssessmentEnv( | |
| EnvClient[CodeAssessmentAction, CodeAssessmentObservation, State] | |
| ): | |
| """ | |
| Client for the Code Output Assessment Environment. | |
| This client maintains a persistent WebSocket connection to the environment server, | |
| enabling efficient multi-step interactions with lower latency. | |
| Each client instance has its own dedicated environment session on the server. | |
| Example: | |
| >>> # Connect to a running server | |
| >>> with FirstRlProjEnv(base_url="http://localhost:8000") as client: | |
| ... result = client.reset() | |
| ... print(result.observation.problem_description) | |
| ... print(result.observation.test_case_input) | |
| ... | |
| ... result = client.step(FirstRlProjAction(answer="8")) | |
| ... print(result.observation.is_correct) | |
| Example with Docker: | |
| >>> # Automatically start container and connect | |
| >>> client = FirstRlProjEnv.from_docker_image("first_rl_proj:latest") | |
| >>> try: | |
| ... result = client.reset() | |
| ... result = client.step(FirstRlProjAction(answer="8")) | |
| ... finally: | |
| ... client.close() | |
| """ | |
| def _step_payload(self, action: CodeAssessmentAction) -> Dict: | |
| """ | |
| Convert CodeAssessmentAction to JSON payload for step message. | |
| Args: | |
| action: CodeAssessmentAction instance | |
| Returns: | |
| Dictionary representation suitable for JSON encoding | |
| """ | |
| return { | |
| "answer": action.answer, | |
| } | |
| def _parse_result(self, payload: Dict) -> StepResult[CodeAssessmentObservation]: | |
| """ | |
| Parse server response into StepResult[CodeAssessmentObservation]. | |
| Args: | |
| payload: JSON response data from server | |
| Returns: | |
| StepResult with CodeAssessmentObservation | |
| """ | |
| obs_data = payload.get("observation", {}) | |
| observation = CodeAssessmentObservation( | |
| problem_description=obs_data.get("problem_description", ""), | |
| difficulty=obs_data.get("difficulty", "easy"), | |
| test_case_input=obs_data.get("test_case_input", ""), | |
| expected_output=obs_data.get("expected_output"), | |
| feedback=obs_data.get("feedback", ""), | |
| is_correct=obs_data.get("is_correct", False), | |
| partial_credit=obs_data.get("partial_credit", 0.0), | |
| problems_solved=obs_data.get("problems_solved", 0), | |
| current_streak=obs_data.get("current_streak", 0), | |
| done=payload.get("done", False), | |
| reward=payload.get("reward"), | |
| metadata=obs_data.get("metadata", {}), | |
| ) | |
| return StepResult( | |
| observation=observation, | |
| reward=payload.get("reward"), | |
| done=payload.get("done", False), | |
| ) | |
| def _parse_state(self, payload: Dict) -> State: | |
| """ | |
| Parse server response into State object. | |
| Args: | |
| payload: JSON response from state request | |
| Returns: | |
| State object with episode_id and step_count | |
| """ | |
| return State( | |
| episode_id=payload.get("episode_id"), | |
| step_count=payload.get("step_count", 0), | |
| ) | |